$ cat /dev/quarkmemory

EVERY DECISION REMEMBERED

Memory of your software. Buried then, revived now.

Every requirement in your PRDs is a quark. Every function in your codebase is a quark. Every customer ticket, tech doc, design, user story is a quark — tiny, powerful, but constantly changing state: lacking in memory of how they develop.

QuarkMemory builds a persistent, evolving memory of every decision that shaped each quark. We create rationales that are valid over time, understand contradictions in rules and logic, and trace distant, silent code failures. We bridge the gap in AI's ability to truly remember.

We don't just spit facts. We build logic. We are your software's brain.

q(m)
01
Context for get_multipart_boundary_from_content_type in httpx/_multipart.py:

AST — function get_multipart_boundary_from_content_type (19 lines, L56–74)
Dependencies (what this calls):
• [HIGH] _unquote_and_unescape_quoted_string in httpx/_multipart.py via calls conf=0.90

[Topic: import mime]
★ (behavioral) The import from 'mime-types' is unused and has been removed.
[commit #2278] since 2022-06-23 conf=1.00

[Topic: feature affects]
★ (rationale) The new feature only affects handling of multipart HTTP requests.
[commit #2278] since 2022-06-23 conf=1.00
Are you a software team? Here's why you NEED decision-aware memory.
└── see-it-work

Watch agents forget intel during routine tasks — before winning with us.

✗ Claude proposes a new entitlements microservice
Task: gate broker citations in generative search
Without memory → rebuilds what you already ship
// for engineering & architecture
Catch the error before production

QuarkMemory MCP surfaces commit rationale, PR threads, and past audits so your agent extends existing systems — and autonomous PR review applies the same memory at merge time, before blockers reach your senior engineers.

View the demos →
✗ Generic LLM PRD: 15 sections, greenfield stack
Same prompt → grounded draft: 12 FRs, extends existing guard
Zero PM hours reconciling Slack and old specs
// for product & requirements
PRDs that reflect org truth

QuarkMemory constrains agent-written requirements to your business' decision history. Fabricated rules gone. No more time wasted with product managers in alignment meetings. No more missing features. No more false confidence in your agent's understanding and implementation of project goals.

View the demos →
Explore all Version 1 solutions

INSTITUTIONAL
MEMORY IS BROKEN

In software, documentation competes with shipping. Documentation loses.
A faster path to search stale documents that don't know they're wrong is NOT institutional memory.

When was the last time you or your agent had fresh understanding of your product?

stale-check.sh
$ npm run check-knowledge
⚠️ Analyzing repository docs...
ERR auth.py: db_helper docs refer to obsolete v1 connection pools.
ERR gateway.ts: docstring describes deprecated rate limit headers.
ERR 14 stale decisions found.
STATUS: KNOWLEDGE BROKEN

BEYOND RAG

It's time to build smart.
RAG.query()
Searches, doesn't remember
Retrieves at query time. Zero memory of historical decisions. 97% of your DB is noisy and practically empty.
One-way relationships
Finds related docs. Can't understand the impact of you changing code or adding new logic.
Context without causality
Similarity search helps find the 'what'. No tracking rationale or behavior - No way of reaching the engineer's brain.
Stateless by design
Every query from zero. Code evolves while understanding of code remains static.
RAG is a lookup tool
QuarkMemory.build_chunk()
Persistent decision memory
Full history, whether enterprise or system-level memory, attached to every piece of code and developed. No more struggling to get your agent to implement project requirements.
Bidirectional impact understanding
Change function → see affected requirements/logic and vice versa. This is more than just a one-way 'lookup'. No more downstream depedencies breaking while you refactor functions.
Decision lineage tracking
Who decided what, when, why. Full causal chain preserved. Traceability, all the time, anytime. No more guessing why a bug showed up because your agent can't explain it.
Stateful evolution engine
Memory evolves with code. Every change updates your agent's knowledge.
QuarkMemory is the living memory system
RAG searches.
QuarkMemory remembers.

Every quark in your codebase carries its complete decision lineage. When something changes, you don't search for context. You already have it.

Real memory is here to stay. Get it.

Memory Across Multiple Sources

We ingest every artifact produced during the Software Development Life Cycle (SDLC) to construct a coherent, decision-aware context layer.

Requirements

PRDs, UX Designs, and Sales Docs

Implementation

Source Code and Technical Specs

Validation

Manual and Automated Test Cases

Sales & GTM

RFPs and Customer Sales Docs

Post-Launch

Support Tickets and Feedback

Continuity

Real-time updates as work happens.

120ms
Context retrieval time
Already attached
2-way
Impact mapping
Code ↔ Requirements
∞
Decision depth
Full lineage preserved

Join Our Early Access Pilot

Ready to revolutionize how your software remembers? Become a v1 user.